Pandas Profiling Report

Dataset statistics

Number of variables	8
Number of observations	753
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	47.2 KiB
Average record size in memory	64.2 B

Variable types

Numeric	6
Categorical	2

Alerts

`District` has a high cardinality: 77 distinct values	High cardinality
`Local Level Name` has a high cardinality: 737 distinct values	High cardinality
`Total family number` is highly correlated with `Total household number` and 3 other fields	High correlation
`Total household number` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total population` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total Male` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total Female` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total family number` is highly correlated with `Total household number` and 3 other fields	High correlation
`Total household number` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total population` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total Male` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total Female` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total family number` is highly correlated with `Total household number` and 3 other fields	High correlation
`Total household number` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total population` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total Male` is highly correlated with `Total family number` and 3 other fields	High correlation
`Total Female` is highly correlated with `Total family number` and 3 other fields	High correlation
`_id` is highly correlated with `District`	High correlation
`District` is highly correlated with `_id` and 5 other fields	High correlation
`Total family number` is highly correlated with `District` and 4 other fields	High correlation
`Total household number` is highly correlated with `District` and 4 other fields	High correlation
`Total population` is highly correlated with `District` and 4 other fields	High correlation
`Total Male` is highly correlated with `District` and 4 other fields	High correlation
`Total Female` is highly correlated with `District` and 4 other fields	High correlation
`_id` is uniformly distributed	Uniform
`Local Level Name` is uniformly distributed	Uniform
`_id` has unique values	Unique

Reproduction

Analysis started	2022-04-20 13:28:53.519164
Analysis finished	2022-04-20 13:29:00.498161
Duration	6.98 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

_id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	753
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	377

Minimum	1
Maximum	753
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	1
5-th percentile	38.6
Q1	189
median	377
Q3	565
95-th percentile	715.4
Maximum	753
Range	752
Interquartile range (IQR)	376

Descriptive statistics

Standard deviation	217.516666
Coefficient of variation (CV)	0.5769672839
Kurtosis	-1.2
Mean	377
Median Absolute Deviation (MAD)	188
Skewness	0
Sum	283881
Variance	47313.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
507	1	0.1%
498	1	0.1%
499	1	0.1%
500	1	0.1%
501	1	0.1%
502	1	0.1%
503	1	0.1%
504	1	0.1%
505	1	0.1%
Other values (743)	743	98.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
753	1	0.1%
752	1	0.1%
751	1	0.1%
750	1	0.1%
749	1	0.1%
748	1	0.1%
747	1	0.1%
746	1	0.1%
745	1	0.1%
744	1	0.1%

District
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	77
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Memory size	6.0 KiB

Sarlahi	20
Dhanusa	18
Rautahat	18
Saptari	18
Morang	17
Other values (72)	662

Length

Max length	16
Median length	7
Mean length	7.460823373
Min length	4

Characters and Unicode

Total characters	5618
Distinct characters	43
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Taplejung
2nd row	Taplejung
3rd row	Taplejung
4th row	Taplejung
5th row	Taplejung

Common Values

Value	Count	Frequency (%)
Sarlahi	20	2.7%
Dhanusa	18	2.4%
Rautahat	18	2.4%
Saptari	18	2.4%
Morang	17	2.3%
Siraha	17	2.3%
Rupandehi	16	2.1%
Bara	16	2.1%
Jhapa	15	2.0%
Mahottari	15	2.0%
Other values (67)	583	77.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sarlahi	20	2.6%
saptari	18	2.3%
dhanusa	18	2.3%
rautahat	18	2.3%
siraha	17	2.2%
morang	17	2.2%
rupandehi	16	2.1%
bara	16	2.1%
jhapa	15	1.9%
mahottari	15	1.9%
Other values (67)	607	78.1%

Most occurring characters

Value	Count	Frequency (%)
a	1202	21.4%
h	448	8.0%
u	362	6.4%
n	315	5.6%
i	291	5.2%
r	290	5.2%
l	266	4.7%
t	254	4.5%
p	190	3.4%
k	168	3.0%
Other values (33)	1832	32.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4817	85.7%
Uppercase Letter	777	13.8%
Space Separator	24	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1202	25.0%
h	448	9.3%
u	362	7.5%
n	315	6.5%
i	291	6.0%
r	290	6.0%
l	266	5.5%
t	254	5.3%
p	190	3.9%
k	168	3.5%
Other values (12)	1031	21.4%

Uppercase Letter

Value	Count	Frequency (%)
S	136	17.5%
D	101	13.0%
B	86	11.1%
K	80	10.3%
R	66	8.5%
M	61	7.9%
P	48	6.2%
J	30	3.9%
N	27	3.5%
T	25	3.2%
Other values (10)	117	15.1%

Space Separator

Value	Count	Frequency (%)
	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5594	99.6%
Common	24	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1202	21.5%
h	448	8.0%
u	362	6.5%
n	315	5.6%
i	291	5.2%
r	290	5.2%
l	266	4.8%
t	254	4.5%
p	190	3.4%
k	168	3.0%
Other values (32)	1808	32.3%

Common

Value	Count	Frequency (%)
	24	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5618	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1202	21.4%
h	448	8.0%
u	362	6.4%
n	315	5.6%
i	291	5.2%
r	290	5.2%
l	266	4.7%
t	254	4.5%
p	190	3.4%
k	168	3.0%
Other values (33)	1832	32.6%

Local Level Name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	737
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Memory size	6.0 KiB

Sunkoshi Rural Municipality	3
Tribeni Rural Municipality	3
Bishnupur Rural Municipality	2
Musikot Municipality	2
Mahalaxmi Municipality	2
Other values (732)	741

Length

Max length	43
Median length	26
Mean length	26.02257636
Min length	16

Characters and Unicode

Total characters	19595
Distinct characters	50
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	723 ?
Unique (%)	96.0%

Sample

1st row	Aathrai Tribeni Rural Municipality
2nd row	Maiwakhola Rural Municipality
3rd row	Meringden Rural Municipality
4th row	Mikwakhola Rural Municipality
5th row	Phaktanglung Rural Municipality

Common Values

Value	Count	Frequency (%)
Sunkoshi Rural Municipality	3	0.4%
Tribeni Rural Municipality	3	0.4%
Bishnupur Rural Municipality	2	0.3%
Musikot Municipality	2	0.3%
Mahalaxmi Municipality	2	0.3%
Likhu Rural Municipality	2	0.3%
Miklajung Rural Municipality	2	0.3%
Madi Municipality	2	0.3%
Malika Rural Municipality	2	0.3%
Madi Rural Municipality	2	0.3%
Other values (727)	731	97.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
municipality	736	35.7%
rural	461	22.4%
city	17	0.8%
sub-metropolitian	11	0.5%
tribeni	7	0.3%
metropolitian	6	0.3%
madi	4	0.2%
rapti	3	0.1%
bagmati	3	0.1%
bheri	3	0.1%
Other values (781)	809	39.3%

Most occurring characters

Value	Count	Frequency (%)
i	2837	14.5%
a	2654	13.5%
u	1556	7.9%
l	1424	7.3%
	1307	6.7%
n	1177	6.0%
t	984	5.0%
r	908	4.6%
p	879	4.5%
M	837	4.3%
Other values (40)	5032	25.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16199	82.7%
Uppercase Letter	2077	10.6%
Space Separator	1307	6.7%
Dash Punctuation	12	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	2837	17.5%
a	2654	16.4%
u	1556	9.6%
l	1424	8.8%
n	1177	7.3%
t	984	6.1%
r	908	5.6%
p	879	5.4%
y	829	5.1%
c	796	4.9%
Other values (15)	2155	13.3%

Uppercase Letter

Value	Count	Frequency (%)
M	837	40.3%
R	505	24.3%
B	126	6.1%
S	108	5.2%
K	80	3.9%
C	60	2.9%
P	56	2.7%
D	53	2.6%
T	51	2.5%
G	48	2.3%
Other values (13)	153	7.4%

Space Separator

Value	Count	Frequency (%)
	1307	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18276	93.3%
Common	1319	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	2837	15.5%
a	2654	14.5%
u	1556	8.5%
l	1424	7.8%
n	1177	6.4%
t	984	5.4%
r	908	5.0%
p	879	4.8%
M	837	4.6%
y	829	4.5%
Other values (38)	4191	22.9%

Common

Value	Count	Frequency (%)
	1307	99.1%
-	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19595	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	2837	14.5%
a	2654	13.5%
u	1556	7.9%
l	1424	7.3%
	1307	6.7%
n	1177	6.0%
t	984	5.0%
r	908	4.6%
p	879	4.5%
M	837	4.3%
Other values (40)	5032	25.7%

Total family number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	736
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8976.723772

Minimum	125
Maximum	231714
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	125
5-th percentile	2159.2
Q1	4036
median	5896
Q3	9510
95-th percentile	23710.2
Maximum	231714
Range	231589
Interquartile range (IQR)	5474

Descriptive statistics

Standard deviation	12986.55224
Coefficient of variation (CV)	1.446691752
Kurtosis	134.0640627
Mean	8976.723772
Median Absolute Deviation (MAD)	2341
Skewness	9.434370137
Sum	6759473
Variance	168650539
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5305	3	0.4%
3627	2	0.3%
8034	2	0.3%
4031	2	0.3%
5148	2	0.3%
6812	2	0.3%
3192	2	0.3%
4822	2	0.3%
5195	2	0.3%
4143	2	0.3%
Other values (726)	732	97.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
125	1	0.1%
320	1	0.1%
391	1	0.1%
456	1	0.1%
459	1	0.1%
471	1	0.1%
540	1	0.1%
543	1	0.1%
558	1	0.1%
600	1	0.1%

Value	Count	Frequency (%)
231714	1	0.1%
143137	1	0.1%
98288	1	0.1%
77872	1	0.1%
57383	1	0.1%
51619	1	0.1%
51099	1	0.1%
50743	1	0.1%
47218	1	0.1%
47169	1	0.1%

Total household number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	720
Distinct (%)	95.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7493.590969

Minimum	125
Maximum	105649
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	125
5-th percentile	1995.2
Q1	3653
median	5195
Q3	8151
95-th percentile	19439
Maximum	105649
Range	105524
Interquartile range (IQR)	4498

Descriptive statistics

Standard deviation	8401.892705
Coefficient of variation (CV)	1.121210477
Kurtosis	54.11716468
Mean	7493.590969
Median Absolute Deviation (MAD)	2004
Skewness	5.946940988
Sum	5642674
Variance	70591801.03
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2735	2	0.3%
6306	2	0.3%
2362	2	0.3%
1364	2	0.3%
2271	2	0.3%
4795	2	0.3%
3421	2	0.3%
3652	2	0.3%
4897	2	0.3%
4231	2	0.3%
Other values (710)	733	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
125	1	0.1%
306	1	0.1%
333	1	0.1%
441	1	0.1%
444	1	0.1%
454	1	0.1%
511	1	0.1%
539	1	0.1%
542	1	0.1%
548	1	0.1%

Value	Count	Frequency (%)
105649	1	0.1%
101669	1	0.1%
77838	1	0.1%
49044	1	0.1%
45240	1	0.1%
45204	1	0.1%
41012	1	0.1%
40207	1	0.1%
39425	1	0.1%
39249	1	0.1%

Total population
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	747
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38612.20452

Minimum	398
Maximum	845767
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	398
5-th percentile	8931.2
Q1	16768
median	25508
Q3	44929
95-th percentile	100099.4
Maximum	845767
Range	845369
Interquartile range (IQR)	28161

Descriptive statistics

Standard deviation	49904.37721
Coefficient of variation (CV)	1.292450867
Kurtosis	106.3215051
Mean	38612.20452
Median Absolute Deviation (MAD)	11398
Skewness	8.168110664
Sum	29074990
Variance	2490446865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15237	2	0.3%
23891	2	0.3%
18751	2	0.3%
10205	2	0.3%
42528	2	0.3%
13900	2	0.3%
19835	1	0.1%
57341	1	0.1%
23124	1	0.1%
17077	1	0.1%
Other values (737)	737	97.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
398	1	0.1%
1272	1	0.1%
1535	1	0.1%
1584	1	0.1%
1671	1	0.1%
1713	1	0.1%
1997	1	0.1%
2462	1	0.1%
2581	1	0.1%
2611	1	0.1%

Value	Count	Frequency (%)
845767	1	0.1%
518452	1	0.1%
369377	1	0.1%
299843	1	0.1%
268273	1	0.1%
244750	1	0.1%
204788	1	0.1%
201079	1	0.1%
198098	1	0.1%
195951	1	0.1%

Total Male
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	746
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18842.81408

Minimum	170
Maximum	431501
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	170
5-th percentile	4448.6
Q1	8115
median	12248
Q3	22100
95-th percentile	48053.4
Maximum	431501
Range	431331
Interquartile range (IQR)	13985

Descriptive statistics

Standard deviation	24891.92856
Coefficient of variation (CV)	1.321030312
Kurtosis	114.4046473
Mean	18842.81408
Median Absolute Deviation (MAD)	5539
Skewness	8.481348417
Sum	14188639
Variance	619608107.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10214	2	0.3%
12169	2	0.3%
9626	2	0.3%
6920	2	0.3%
6158	2	0.3%
10670	2	0.3%
5713	2	0.3%
34316	1	0.1%
8628	1	0.1%
35180	1	0.1%
Other values (736)	736	97.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
170	1	0.1%
728	1	0.1%
748	1	0.1%
818	1	0.1%
831	1	0.1%
839	1	0.1%
1132	1	0.1%
1206	1	0.1%
1289	1	0.1%
1330	1	0.1%

Value	Count	Frequency (%)
431501	1	0.1%
250999	1	0.1%
179744	1	0.1%
150702	1	0.1%
139849	1	0.1%
122769	1	0.1%
102334	1	0.1%
100417	1	0.1%
97324	1	0.1%
95705	1	0.1%

Total Female
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	743
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19769.39044

Minimum	228
Maximum	414266
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	228
5-th percentile	4450.2
Q1	8553
median	13010
Q3	23068
95-th percentile	51533.2
Maximum	414266
Range	414038
Interquartile range (IQR)	14515

Descriptive statistics

Standard deviation	25046.36215
Coefficient of variation (CV)	1.266926374
Kurtosis	98.60091807
Mean	19769.39044
Median Absolute Deviation (MAD)	5726
Skewness	7.861075579
Sum	14886351
Variance	627320256.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8410	3	0.4%
27159	2	0.3%
14711	2	0.3%
8054	2	0.3%
8816	2	0.3%
8480	2	0.3%
11467	2	0.3%
10910	2	0.3%
8446	2	0.3%
28529	1	0.1%
Other values (733)	733	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
228	1	0.1%
544	1	0.1%
766	1	0.1%
787	1	0.1%
840	1	0.1%
865	1	0.1%
874	1	0.1%
1256	1	0.1%
1275	1	0.1%
1292	1	0.1%

Value	Count	Frequency (%)
414266	1	0.1%
267453	1	0.1%
189633	1	0.1%
149141	1	0.1%
128424	1	0.1%
121981	1	0.1%
106695	1	0.1%
103790	1	0.1%
102454	1	0.1%
99349	1	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	_id	District	Local Level Name	Total family number	Total household number	Total population	Total Male	Total Female
0	1	Taplejung	Aathrai Tribeni Rural Municipality	2869	2735	12288	6005	6283
1	2	Taplejung	Maiwakhola Rural Municipality	2275	2178	10365	5264	5101
2	3	Taplejung	Meringden Rural Municipality	2683	2528	12040	6181	5859
3	4	Taplejung	Mikwakhola Rural Municipality	1862	1792	7991	4000	3991
4	5	Taplejung	Phaktanglung Rural Municipality	2864	2700	11925	6239	5686
5	6	Taplejung	Phungling Municipality	7306	5888	28786	14160	14626
6	7	Taplejung	Sidingba Rural Municipality	2604	2484	10981	5593	5388
7	8	Taplejung	Sirijangha Rural Municipality	3329	3197	14186	7227	6959
8	9	Taplejung	Pathivara Yangwarak Rural Municipality	2738	2637	11797	5855	5942
9	10	Panchthar	Falelung Rural Municipality	4940	4773	20531	10211	10320

Last rows

	_id	District	Local Level Name	Total family number	Total household number	Total population	Total Male	Total Female
743	744	Baitadi	Surnaya Rural Municipality	3877	3206	18230	8549	9681
744	745	Darchula	Apihimal Rural Municipality	1363	1256	7023	3438	3585
745	746	Darchula	Byas Rural Municipality	2361	2168	10205	4884	5321
746	747	Darchula	Dunhu Rural Municipality	2293	1906	9912	4580	5332
747	748	Darchula	Lekam Rural Municipality	3045	2645	13638	6520	7118
748	749	Darchula	Mahakali Municipality	6080	4596	24572	12072	12500
749	750	Darchula	Malikaarjun Rural Municipality	3241	2993	15754	7631	8123
750	751	Darchula	Marma Rural Municipality	3086	2704	15586	7551	8035
751	752	Darchula	Naugad Rural Municipality	3156	2920	16434	7988	8446
752	753	Darchula	Shailyashikhar Municipality	4561	4012	21932	10685	11247

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows